John Snow Labs' Total Patient Journey

John Snow Labs Patient Journey Services help healthcare organizations transform raw clinical information into ordered and analytics ready patient timelines. The service ingests text documents, imaging reports, scanned files, claims, and EHR data, then applies clinical language models to extract diagnoses, medications, symptoms, procedures, laboratory results, social factors, and other key events. These events are normalized, linked across documents, and placed into a complete chronology modeled with OMOP Common Data Model. The result is a clear and comprehensive view of each patient journey that supports cohort analytics, guideline alignment, clinical review, and advanced study design.

This service is delivered using the John Snow Labs Healthcare NLP platform which is ranked first in accuracy across multiple clinical extraction benchmarks. It integrates naturally with AWS services including Amazon S3 for storage, Amazon EMR or AWS Glue for large scale processing, and Amazon HealthLake or custom data lake architectures for downstream analysis. Customers can also use the timelines as a source of enriched and standardized data for natural language interfaces built on Amazon Bedrock or for advanced patient level querying through John Snow Labs medical language models. The service can be deployed entirely inside the customer AWS account which keeps all protected data inside the secure boundary and supports HIPAA eligible architecture patterns.

Patient Journey Services can be used to accelerate clinical operations, real world evidence programs, quality initiatives, and payer workflows. From oncology timeline construction to chronic condition review and automated HCC support, the output brings structure to large clinical datasets and makes them easier to search, analyze, and validate.